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contextcheck

Addepto/contextcheck

Framework for LLMs and RAGs testing in Python

GraphCanon updated Sep 8, 2026 · GitHub synced Sep 8, 2026

45views this month

97 stars11 forksLast push Dec 11, 2024 Python MIT

Decision brief

Contextcheck, an MIT-licensed Python framework for evaluating large language models and RAG systems through configurable YAML settings that integrate with CI pipelines.

Good fit when

  • When you require a framework specifically designed to test the robustness of both LLMs and Retrieval-Augmented Generation systems within Python projects.
  • If your development pipeline needs modular testing capabilities where tests can be configured via YAML files, aligning well with continuous integration practices.

Avoid when

  • Avoid if you aim for a framework without configuration flexibility through YAML as contextcheck strictly relies on this format for setting up test environments.
  • Skip contextcheck if your project environment or requirements do not align with the MIT license terms, especially in contexts where licensing compatibility must be strictly observed.

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (635d since push)
As of Sep 8, 2026
Provenance
Not a fork · Organization account
As of Sep 8, 2026
Security (OSV)
No lockfile
As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install contextcheck
PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

MIT-licensed framework for testing large language models, retrieval-augmented generation systems, chatbots, and other generative AI components. Configurable via YAML with CI pipeline integration.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Sep 8, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 8, 2026

Categories

Tags

README

License This project is licensed under the MIT License see the LICENSE file for details

For agents

This page has a .md twin and JSON over the API.

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